Advanced Data Structures
An in-depth handbook that explores advanced data structures used to solve complex and large-scale problems efficiently. This guide covers structures such as balanced trees, heaps, graphs, tries, and advanced hashing techniques, with an emphasis on performance, scalability, and real-world use cases.
3 Modules
10 Lessons
English
0 Hr
Reading Plan
MODULE 1
Advanced Trees
MODULE 2
Graphs
MODULE 3
Others
Contributors
Advanced Data Structures
This handbook builds on basic data structures and moves into advanced concepts that help handle complex data and performance-critical applications. You’ll learn how advanced structures work internally, when to use them, and how they improve time and space efficiency in real systems.
Why This Handbook Matters
Advanced data structures are essential for building high-performance software. Understanding them enables developers to optimize algorithms, manage large datasets, and design systems that scale efficiently under real-world constraints.
Ideal Learners for This Handbook
This handbook is ideal for learners who already understand basic data structures, students preparing for advanced technical interviews, and developers working on performance-sensitive or data-intensive applications. It’s especially useful for competitive programming and system-level problem solving.
Prerequisites
This course is suitable for:
- Strong understanding of basic data structures
- Familiarity with arrays, linked lists, stacks, and queues
- Knowledge of time and space complexity analysis
- Comfort with at least one programming language
- Willingness to tackle complex problem-solving concepts











